SANI ISAH ABBA
SANI ISAH ABBA
Baze University, Abuja
Verified email at bazeuniversity.edu.ng
Title
Cited by
Cited by
Year
Wastewater treatment plant performance analysis using artificial intelligence–an ensemble approach
V Nourani, G Elkiran, SI Abba
Water Science and Technology 78 (10), 2064-2076, 2018
412018
Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river
G Elkiran, V Nourani, SI Abba, J Abdullahi
Global Journal of Environmental Science and Management 4 (4), 439-450, 2018
372018
River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques
JA S.I.Abbaa, Sinan Jasim Hadia
Elsevier B.V. Procedia Computer Science 120 (2017) 120, 75–82, 2017
37*2017
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and gis techniques
R Costache, QB Pham, E Sharifi, NTT Linh, SI Abba, M Vojtek, ...
Remote Sensing 12 (1), 106, 2020
362020
Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach
G Elkiran, V Nourani, SI Abba
Journal of Hydrology 577, 123962, 2019
362019
Effluent prediction of chemical oxygen demand from the astewater treatment plant using artificial neural network application
SI Abba, G Elkiran
Procedia computer science 120, 156-163, 2017
312017
Potential of hybrid data-intelligence algorithms for multi-station modelling of rainfall
QB Pham, SI Abba, AG Usman, NTT Linh, V Gupta, A Malik, R Costache, ...
Water Resources Management 33 (15), 5067-5087, 2019
292019
Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant
SI Abba, QB Pham, AG Usman, NTT Linh, DS Aliyu, Q Nguyen, QV Bach
Journal of Water Process Engineering 33, 101081, 2020
252020
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
B Mohammadi, NTT Linh, QB Pham, AN Ahmed, J Vojteková, Y Guan, ...
Hydrological Sciences Journal 65 (10), 1738-1751, 2020
212020
Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach
SI Abba, AG Usman, I Selin
Chemometrics and Intelligent Laboratory Systems 201, 104007, 2020
162020
Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System
S Abba, J Wadumi Namkusong, JA Lee, M Liz Crespo
Sensors 19 (17), 3643, 2019
142019
An autonomous self-aware and adaptive fault tolerant routing technique for wireless sensor networks
S Abba, JA Lee
Sensors 15 (8), 20316-20354, 2015
132015
A parametric-based performance evaluation and design trade-offs for interconnect architectures using FPGAs for networks-on-chip
S Abba, JA Lee
Microprocessors and Microsystems 38 (5), 375-398, 2014
132014
Non-linear input variable selection approach integrated with non-tuned data intelligence model for streamflow pattern simulation
SJ Hadi, SI Abba, SS Sammen, SQ Salih, N Al-Ansari, ZM Yaseen
IEEE Access 7, 141533-141548, 2019
102019
Examining the performance impact of NoC parameters for scalable and adaptive FPGA-based network-on-chips
S Abba, JA Lee
2013 Fifth International Conference on Computational Intelligence, Modelling …, 2013
102013
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
SI Abba, SJ Hadi, SS Sammen, SQ Salih, RA Abdulkadir, QB Pham, ...
Journal of Hydrology 587, 124974, 2020
92020
A Novel Multi‑model Data‑Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development
AG Usman, S Işik, SI Abba
Chromatographia 83, 933–945, 2020
92020
FPGA-based design of an intelligent on-chip sensor network monitoring and control using dynamically reconfigurable autonomous sensor agents
S Abba, JA Lee
International Journal of Distributed Sensor Networks 12 (2), 4246596, 2016
92016
Modelling of uncertain system: a comparison study of linear and non-linear approaches
SI Abba, MS Gaya, ML Yakubu, MU Zango, RA Abdulkadir, MA Saleh, ...
2019 IEEE International Conference on Automatic Control and Intelligent …, 2019
82019
Modelling the Absorbance of a Bioactive Compound in HPLC Method using Artificial Neural Network and Multilinear Regression Methods
HU Abdullahi, AG Usman, SI Abba
vol 6, 362-371, 2020
72020
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Articles 1–20